Abstract:

Non-linear analysis methods were used to extract characteristics information included in logging signals. Using one of analysis methods of non-stationary signal-the run-length method, non-stationary characteristics of reservoir well logging data can be analyzed. On this basis, the largest Lyapunov exponent of chaotic characteristics was extracted by non-linear chaos method. The results showed that the reservoir logging signals have non-stationary characteristics, in the same time, that the largest Lyapunov exponent is greater than zero, which indicate that logging data have chaotic characteristics. For this reason, non-linear chaos theory methods can be adopted to extract information of reservoir well logging in order to effectively describe characteristics of real reservoir well logging data.

Key words: well logging, signal, non-stationary, chaos, Lyapunov exponent